Difference between revisions of "Logit"
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[[Category:Doc Status D]] <!-- For Lumina use, do not change --> | [[Category:Doc Status D]] <!-- For Lumina use, do not change --> | ||
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== Logit(p) == | == Logit(p) == | ||
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:[[image:logitGraph.png]] | :[[image:logitGraph.png]] | ||
− | The inverse of the [[Logit]] function is | + | The inverse of the [[Logit]] function is [[Sigmoid]](x) (before [[Analytica 4.5]], the function [[InvLogit]] was used, defined in the '''Generalized Regression'' library). The logit function is sometimes called the log-odds function. |
== Library == | == Library == | ||
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When ''p < 0'' or ''p > 1'', a warning is issued and if the warning is ignored, the result is [[NaN]]. This is the case unless you have [[EnableComplexNumbers|enabled complex numbers]]. If you have set the system variable [[EnableComplexNumbers]] to 1, then no warning is issued and [[Logit]](p) returns a complex number. | When ''p < 0'' or ''p > 1'', a warning is issued and if the warning is ignored, the result is [[NaN]]. This is the case unless you have [[EnableComplexNumbers|enabled complex numbers]]. If you have set the system variable [[EnableComplexNumbers]] to 1, then no warning is issued and [[Logit]](p) returns a complex number. | ||
+ | |||
+ | ==History== | ||
+ | [[Logit]] was introduced as a built-in function in [[Analytica 4.5]]. Before that, it was supplied as a function in the ''Generalized Regression'' library. | ||
== See Also == | == See Also == | ||
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* [[Sigmoid]](x) | * [[Sigmoid]](x) | ||
* [[LogisticRegression]] | * [[LogisticRegression]] |
Revision as of 23:11, 21 January 2016
Logit(p)
The Logit function is equal to
- [math]\displaystyle{ Logit(p) = \ln\left( p\over{1-p} \right) }[/math]
where [math]\displaystyle{ 0\lt p\lt 1 }[/math].
The inverse of the Logit function is Sigmoid(x) (before Analytica 4.5, the function InvLogit was used, defined in the 'Generalized Regression library). The logit function is sometimes called the log-odds function.
Library
Advanced Math Functions
Complex numbers
When p < 0 or p > 1, a warning is issued and if the warning is ignored, the result is NaN. This is the case unless you have enabled complex numbers. If you have set the system variable EnableComplexNumbers to 1, then no warning is issued and Logit(p) returns a complex number.
History
Logit was introduced as a built-in function in Analytica 4.5. Before that, it was supplied as a function in the Generalized Regression library.
See Also
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